Body Area Networks: A Survey

Mobile Networks and Applications - Tập 16 - Trang 171-193 - 2010
Min Chen1,2, Sergio Gonzalez1, Athanasios Vasilakos3, Huasong Cao1, Victor C. M. Leung1
1Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada
2School of Computer Science and Engineering, Seoul National University, Seoul, South Korea
3Department of Computer and Telecommunications Engineering, University of Western Macedonia, Macedonia, Greece

Tóm tắt

Advances in wireless communication technologies, such as wearable and implantable biosensors, along with recent developments in the embedded computing area are enabling the design, development, and implementation of body area networks. This class of networks is paving the way for the deployment of innovative healthcare monitoring applications. In the past few years, much of the research in the area of body area networks has focused on issues related to wireless sensor designs, sensor miniaturization, low-power sensor circuitry, signal processing, and communications protocols. In this paper, we present an overview of body area networks, and a discussion of BAN communications types and their related issues. We provide a detailed investigation of sensor devices, physical layer, data link layer, and radio technology aspects of BAN research. We also present a taxonomy of BAN projects that have been introduced/proposed to date. Finally, we highlight some of the design challenges and open issues that still need to be addressed to make BANs truly ubiquitous for a wide range of applications.

Tài liệu tham khảo

Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Networks 38(4):393–422 Arvind DK, Bates A (2008) The speckled golfer. In: Proceedings of BodyNets 2008. Tempe, USA Baker CR, Armijo K, Belka S, Benhabib M, Bhargava V et al (2007) Wireless sensor networks for home health care. In: International conference on advanced information networking and applications workshops, AINAW’07, pp 832–837 Barth A, Wilson S, Hanson M, Powell H, Unluer D, Lach J (2008) Body-coupled communication for body sensor networks. The 3rd international conference on body area networks (BodyNets). Tempe, Arizona Bluecore. Available at: http://www.csr.com/bc7/ Body Sensor Networks. Available at: http://ubimon.doc.ic.ac.uk/bsn/m621.html Cacioppo JT (2003) Introduction: emotion and health. In: Handbook of affective stress, 1st edn. Oxford University Press Cao H, Chow C, Chan H, Leung V (2009) Enabling technologies for wireless body area networks: a survey and outlook. IEEE Wirel Commun Mag 47(12):84–93 Cao H, Gonzalez-Valenzuela S, Leung V (2010) Employing IEEE 802.15.4 for quality of service provisioning in wireless body area sensor networks. In: Proc. IEEE advanced information networking and application, AINA 2010. Perth, Australia Cobb W (1983) Recommendation for the practice of clinical neurophysiology. Elsevier, Amsterdam Corchado J, Bajo J, Tapia D, Abraham A (2010) Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare. IEEE Trans Inf Technol Biomed 14(2):234–240 Curtis D, Shih, E, Waterman J, Guttag J, Bailey J et al (2008) Physiological signal monitoring in the waiting areas of an emergency room. In: Proceedings of BodyNets 2008. Tempe, Arizona, USA Dam T, Langendoen K (2003) An adaptive energy-efficient mac protocol for wireless sensor networks. In: Proceedings of the first ACM SenSys conference, pp 171–180. Los Angeles, CA, USA Dara C, Monetta L, Pell MD (2008) Vocal emotion processing in Parkinson’s disease: reduced sensitivity to negative emotions. Brain Res 1188:100–111 El-Nasr M, Vasilakos A (2008) DigitalBeing—using the environment as an expressive medium for dance. Inf Sci 178:663–678 Farella E, Pieracci A, Benini L, Rocchi L, Acquaviva A (2008) Interfacing human and computer with wireless body area sensor networks: the WiMoCA solution. Multimedia Tools and Applications 38(3):337–363 Felemban E, Lee C-G, Ekici E (2006) MMSPEED: multipath MultiiSPEED protocol for QoS guarantee of reliability and. Timeliness in wireless sensor networks. IEEE Trans Mob Comput 5(6)738–754 Fleury A, Vacher M, Noury N (2010) SVM-based multi-modal classification of activities of daily living in health smart homes: sensors, algorithms and first experimental results. IEEE Trans Inf Technol Biomed 14(2):274–283 Gao T, Massey T, Selavo L, Crawford D, Chen B, Lorincz K, Shnayder V, Hauenstein L, Dabiri F, Jeng J, Chanmugam A, White D, Sarrafzadeh M, Welsh M (2007) The advanced health and disaster aid network: a light-weight wireless medical system for triage. IEEE Trans Biomed Circuits Syst 1(3):203–216 Ghasemzadeh H, Jafari R, Prabhakaran B (2010) A body sensor network with electromyogram and inertial sensors: multi-modal interpretation of muscular activities. IEEE Trans Inf Technol Biomed 14(2):198–206 Gu H, Ji Q (2004) An automated face reader for fatigue detection. In: FGR, pp 111–116 Hall PS, Hao Y (2006) Antennas and propagation for body-centric wireless communications. Artech House Publishers, Boston Healey JA, Picard RW (2005) Detecting stress during real-world driving tasks using physiological sensors. IEEE Trans Intell Transp Syst 6(2):156–166 Hoiydi A, Decotignie J, Enz C, Roux E (2003) WiseMAC: an ultra low power MAC protocol for the wisenet wireless sensor networks. In: Proceedings of the first ACM SenSys Conference. Los Angeles, CA Hoyt, R.W (0000) SPARNET—Spartan sensor network to improve medical and situational awareness of foot soldiers during field training. Available at: http://mobisensors.cs.pitt.edu/files/papers/hoyt.pdf IEEE 802.15 Task Group 6 (BSN). Available at: http://ieee802.org/15/pub/TG6.html Jantunen I, Laine H, Huuskonen P, Trossen D, Ermolov V (2004) Smart sensor architecture for mobile-terminal-centric ambient intelligence. Sens Actuators A Phys 142(1):352–360 Jiang S, Cao Y, Lyengar S, Kuryloski P, Jafari R, Xue Y, Bajcsy R, Wicker S (2008) CareNet: an integrated wireless sensor networking environment for remote healthcare. In: Proc. of international conference on body area networks. Tempe, Arizona Kurs A, Karalis A, Moffatt R, Joannopoulos JD, Fisher P, Soljacic M (2007) Wireless power transfer via strongly coupled magnetic resonances. Science 317(5834):83–86 Lai C, Huang Y, Park J, Chao H (2010) Adaptive body posture analysis using collaborative multi-sensors for elderly falling detection. IEEE Intell Syst 25(2):20–30 Latr B, Braem B, Moerman I, Blondia C, Reusens E, Joseph W, Demeester P (2007) A low-delay protocol for multihop wireless body area networks. In: Proceedings of mobiquitous. Philadelphia, PA Li H, Tan J (2005) An ultra-low-power medium access control protocol for body sensor network. In: Proceedings of IEEE-EMBS. Reading, UK Li H, Tan J (2007) Heartbeat driven medium access control for body sensor networks. In: Proceedings of ACM SIGMOBILE international workshop on systems and networking support for healthcare and assisted living environments. San Juan, Puerto Rico Milenkovic A, Otto C, Jovanov E (2006) Wireless sensor networks for personal health monitoring: issues and an implementation. Comput Commun 29(13–14):2521–2533 Omeni O (2008) A perspective of the BSN MAC. Internet draft, January 11, 2008 Patel M, Wang J (2010) Applications, challenges, and prospective in emerging body area networking technologies. IEEE Wirel Commun Mag 17(1):80–88 Pentland A (2004) Healthwear: medical technology becomes wearable. Computer 37(5):42–49 Picard RW (2001) Affective medicine: technology with emotional intelligence. In: Bushko RG (ed) Future of health technology. OIS Polastre J, Hill J, Culler D (2004) Versatile low power media access for wireless sensor networks. In: Proceedings of the 2nd ACM SenSys conference, pp 95–107. Baltimore, MD, USA Rajendran V, Obraczka K, Garcia-Luna-Aceves J (2003) Energyefficient, collision-free medium access control for wireless sensor networks. In: Proceedings of the first ACM SenSys conference, pp 181–193. Los Angeles, CA, USA RFID. Available at: http://www.rfid.org/ Ruiz JA, Shimamoto S (2006) Novel communication services based on human body and environment interaction: applications inside trains and applications for handicapped people. In: Proc. of the IEEE wireless communications and networking conference, WCNC 2006. Las Vegas, Nevada Saeed A, Faezipour M, Nourani M, Tamil LS (2009) Plug-and-play sensor node for body area networks. In: Proceedings of the IEEE-NIH life science systems and applications workshop, (LISSA’09), pp 104–107. Bethesda, Maryland, USA Schwiebert L, Gupta SKS, Weinmann J (2001) Research challenges in wireless networks of biomedical sensors. In: Proc. ACM Mobicom’01. Rome, Italy Sensor Node Wiki. Available at: http://en.wikipedia.org/wiki/Sensor_node Sheltami T, Mahmoud A, Abu-Amara M (2006) Warning and monitoring medical system using sensor networks. In: The Saudi 18th national computer conference (NCC18), pp 63–68. Riyadh, Saudi Arabia Shnayder V, Chen B, Lorincz K, Fulford-Jones TRF, Welsh M (2005) Sensor networks for medical care. Harvard University Technical Report TR-08-05 Smeaton AF, Diamond D et al (2008) Aggregating multiple body sensor for analysis in sports. In: International workshop on wearable micro and nanosystems for personalised health—pHealth. Valencia, Spain Takeda K, Hansen JH, L, Erdogan H, Abut H (2009) In-vehicle corpus and signal processing for driver behavior. Springer Takizawa K, Aoyagi T, Kohno R (2009) Channel modeling and performance evaluation of uwb-based wireless body area networks. In: Proc. of the IEEE international conference on communications, ICC 2009. Dresden, Germany Taleb T, Bottazzi D, Nasser N (2010) A novel middleware solution to improve ubiquitous healthcare systems aided by affective information. IEEE Trans Inf Technol Biomed 14(2):335–349 Taparugssanagorn A, Rabbachin A, Hamalainen M, Saloranta J, Iinatti J (2008) A review of channel modelling for wireless body area network in wireless medical communications. In: The 11th international symposium on wireless personal multimedia communications. Saariselka, Finland TinyOS for wireless embedded sensor networks. Available at: http://www.tinyos.net US Bureau of the Census (2000) Population projections of the United States by age, sex, race and Hispanic origin: 1995–2050, Current Population Reports, P25-1130 Warren S, Jovanov E (2006) The need for rules of engagement applied to wireless body area networks. In: Proc. of the IEEE consumer communications and networking conference, CCNC 2006. Las Vegas, Nevada WLAN Interference to IEEE802.15.4. Available at: z-wavealliance.org. Retrieved on 2007-11-22 Wood A, Virone G, Doan T, Cao Q, Selavo L, Wu Y, Fang L, He Z, Lin S, Stankovic J (2006) ALARM-NET: wireless sensor networks for assisted-living and residential monitoring. Technical Report CS-2006-11, Department of Computer Science, University of Virginia Xu PJ, Zhang H, Tao XM (2008) Textile-structured electrodes for electrocardiogram. Text Prog 40(4):183–213 Yazdandoost K, Sayrafian-Pour K (2009) Channel model for body area network (BSN). Doc. # IEEE P802.15-08-0780-06-0006. Available online at http://mentor.ieee.org/802.15/ Ye W, Heidemann J (2005) SCP-MAC: reaching ultra-low duty cycles (poster). In: IEEE SECON’05. Santa Clara, CA, USA Ye W, Heidemann J, Estrin D (2004) Medium access control with coordinated, adaptive sleeping for wireless sensor networks. IEEE/ACM Trans Netw 3(12):493–506 Younis M, Akkaya K et al (2004) On handling QoS traffic in wireless sensor networks. In: Proceedings of the 37th annual Hawaii international conference on system sciences. Hawaii Yu J-Y, Liao W-C, Lee C-Y (2006) A MT-CDMA based wireless body area network for ubiquitous healthcare monitoring. In: Proc. IEEE biomedical circuits and systems conference, BioCAS 2006, pp 98–101 Zhang YP, Bin L, Qi C (2007) Characterization of on-human-body UWB radio propagation channel. Microw Opt Technol Lett 49(6):1365–1371 Zhang Z, Zhang JS (2006) Driver fatigue detection based intelligent vehicle control. In: Proceedings of the 18th IEEE international conference on pattern recognition, ICPR’06, pp 1262–1265. Washington, DC Zhen B, Patel M, Lee S, Won E, Astrin A (2008) TG6 technical requirements document (TRD) IEEE P802.15-08-0644-09-0006. https://mentor.ieee.org/802.15 Zhou G, Liu J, Wan C, Yarvis M, Stankovic J (2008) BodyQoS: Adaptive and radio-agnostic QoS for body sensor networks. In: Proceedings of IEEE INFOCOM. Phoenix, USA ZigBee Specification. Available at: http://www.zigbee.org. Retrieved on 2008-03-18 Zigbee Standard. Available at: http://www.digi.com/technology/rf-articles/wireless-zigbee.jsp